Graph and download economic data for Total Revenue for Community Food and Housing, and Emergency and Other Relief Services, All Establishments (REV6242ALLEST157QNSA) from Q2 2009 to Q1 2025 about emergency, community, revenue, establishments, food, housing, rate, and USA.

This statistic shows the turnover rate in emergency shelters and transitional housing programs in the United States from 2007 to 2017. In 2017, the turnover rate in emergency shelters was *** percent, a decrease from *** percent in 2007.

Community housing and homeless shelters, mostly small nonprofits, heavily depend on government and charitable funding. According to the Annual Homelessness Assessment Report (AHAR 2023), out % of 653,100 individuals experiencing homelessness, 60.7% were sheltered, while 39.3% remained unsheltered, highlighting a significant underserved market. The pandemic increased unemployment, housing costs and poverty levels, raising demand for shelter services, with government support aiding many establishments. As a result, industry revenue grew at a compound annual growth rate (CAGR) of 5.0%, reaching $21.9 billion by 2024, with a 2.0% climb in 2024 alone. Notably, industry profit rose to 7.0%, with most profit reinvested into operations, as 96.0% of shelters are nonprofits and 98.0% of community housing providers are federally tax-exempt. Individual service needs vary widely. About one-third of shelter services cater to emergency housing. Six out of ten people experiencing homelessness are in urban areas, explaining the concentration of shelters in cities. Also, three out of ten people experiencing homelessness come from a family with children. Catering to a diverse demographic (families, youths, adults, veterans) can restrict economies of scale, but specialized services can attract targeted charitable contributions. Urban shelters face higher rents and costs because of competitive pressures. However, they can gain from group purchasing, network development for better rates and spreading positive information to boost donations. Service provision is expected to remain fragmented, with shelters competing intensely for grants. Donations will fluctuate depending on the economy, increasing during booms and decreasing in downturns. Shelters integrating telehealth, training and security measures may attract a broader group, reducing unsheltered homelessness and increasing revenue for service and infrastructure improvements. Despite favorable economic trends, such as decreasing poverty and unemployment rates and slower housing price growth, revenue will strengthen at a CAGR of only 0.2%, reaching $22.0 billion by 2029.

Fair Market Rents (FMRs) are used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), rent ceilings for rental units in both the HOME Investment Partnerships program and the Emergency Solution Grants program, calculation of maximum award amounts for Continuum of Care recipients and the maximum amount of rent a recipient may pay for property leased with Continuum of Care funds, and calculation of flat rents in Public Housing units. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for Office of Management and Budget (OMB) defined metropolitan areas, some HUD defined subdivisions of OMB metropolitan areas and each nonmetropolitan county. 42 USC 1437f requires FMRs be posted at least 30 days before they are effective and that they are effective at the start of the federal fiscal year (generally October 1).

The global personal emergency response system market value is estimated to be US$ 5,868.1 million in 2024. The overall market is predicted to grow at a moderate CAGR of 6.3% during the forecast period. The global personal emergency response system industry share is estimated to reach a value of nearly US$ 10,840.5 million by 2034.

Report Attribute	Details
Personal Emergency Response System (PERS) Market Size (2024)	US$ 5,868.1 million
Market Anticipated Forecast Value (2034)	US$ 10,840.5 million
Market Projected Growth Rate (2024 to 2034)	6.3% CAGR

Global Personal Emergency Response System (PERS) Market Historical Analysis (2019 to 2023) Vs Forecast Outlook (2024 to 2034)

Attributes	Details
Personal Emergency Response System (PERS) Market Value (2019)	US$ 3,958.5 million
Market Revenue (2023)	US$ 5,490 million
Market Historical Growth Rate (CAGR 2019 to 2023)	6.8% CAGR

Country-wise Insights

Regional Market Comparison	CAGR (2024 to 2034)
United States	3.8%
Germany	3.6%
United Kingdom	4.8%
India	7.2%
Singapore	6.1%

Category-wise Insights

Attributes	Details
Top Product Type or Segment	Landline Devices
Total Market Share in 2024 to 2034	57.9%

Attributes	Details
Top End User Segment	Home Based Users
Total Market Share in 2024	67.8%

United States Home Equity Lending Market size was valued at USD 200 Billion in 2024 and is projected to reach USD 290 Billion by 2032, growing at a CAGR of 4.7% from 2025 to 2032.

United States Home Equity Lending Market: Definition/ Overview

Home equity lending is a financial arrangement in which homeowners can borrow money using their home's equity (the difference between the property's market value and the outstanding mortgage debt) as collateral. This type of lending is typically available in two forms: a home equity loan, which provides a lump sum with fixed payments, and a home equity line of credit (HELOC), which allows homeowners to access capital for a variety of purposes such as home improvements, debt consolidation, education expenses, or emergency funding.

Abstract

The purpose of the SEPHER data set is to allow for testing, assessing and generating new analysis and metrics that can address inequalities and climate injustice. The data set was created by Tedesco, M., C. Hultquist, S. E. Char, C. Constantinides, T. Galjanic, and A. D. Sinha.

Methodology

SEPHER draws upon four major source datasets: CDC Social Vulnerability Index, FEMA National Risk Index, Home Mortgage Disclosure Act, and Evictions datasets. The data from these source datasets have been merged, cleaned, and standardized and all of the variables documented in the data dictionary.

CDC Social Vulnerability Index

CDC Social Vulnerability Index (SVI) dataset is a dataset prepared for the Centers for Disease Control and Prevention for the purpose of assessing the degree of social vulnerability of American communities to natural hazards and anthropogenic events. It contains data on 15 social factors taken or derived from Census reports as well as rankings of each tract based on these individual factors, groups of factors corresponding to four related themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) and overall. The data is available for the years 2000, 2010, 2014, 2016, and 2018.

FEMA National Risk Index

The National Risk Index (NRI) dataset compiled by the Federal Emergency Management Agency (FEMA) consists of historic natural disaster data from across the United States at a tract-level. The dataset includes information about 18 natural disasters including earthquakes, tsunamis, wildfires, volcanic activity and many others. Each disaster is detailed out in terms of its frequency, historic impact, potential exposure, expected annual loss and associated risk. The dataset also includes some summary variables for each tract including the total expected loss in terms of building loss, human loss and agricultural loss, the population of the tract, and the area covered by the tract. It finally includes a few more features to characterize the population such as social vulnerability rating and community resilience.

Home Mortgage Disclosure Act

The Home Mortgage Disclosure Act (HMDA) dataset contains loan-level data for home mortgages including information on applications, denials, approvals, and institution purchases. It is managed and expanded annually by the Consumer Financial Protection Bureau based on the data collected from financial institutions. The dataset is used by public officials to make decisions and policies, uncover lending patterns and discrimination among mortgage applicants, and investigate if lenders are serving the housing needs of the communities. It covers the period from 2007 to 2017.

Evictions

The Evictions dataset is compiled and managed by the Eviction Lab at Princeton University and consists of court records related to eviction cases in the United States between 2000 and 2016. Its purpose is to estimate the prevalence of court-ordered evictions and compare eviction rates among states, counties, cities, and neighborhoods. Besides information on eviction filings and judgments, the dataset includes socioeconomic and real estate data for each tract including race/ethnic origin, household income, poverty rate, property value, median gross rent, rent burden, and others.

The escalating threat of climate change has significantly amplified demand for damage restoration services both within the United States and worldwide. Each year, environmental calamities from wildfires and floods to earthquakes and tornadoes grow stronger and more frequent. This rise in catastrophes has inadvertently benefited damage restoration service providers. However, it has also led several insurance and reinsurance companies, including Nationwide, Allstate and Berkshire Hathaway, to retract their support from areas persistently stricken by such costly disasters. These areas primarily include coastal regions susceptible to flooding and swathes of California severely hit by disastrous wildfires. Industry revenue is estimated to increase at a CAGR of 4.5% to $7.1 billion over five years to 2024, despite a 2.1% decrease in 2024 alone. While environmental disasters prove beneficial for damage restoration service providers, the onset of the pandemic instigated a sharp reduction in nonessential services by households and businesses, as soaring unemployment rates, inflation and interest rates became the new reality. Economic relief measures like the Coronavirus Aid, Relief and Economic Security (CARES) Act, Paycheck Protection Program (PPP) and stimulus payments temporarily sustained the economy during the pandemic's peak. However, as these financial support measures dwindle, businesses and households are having to carefully allocated resources. This shift, coupled with the retraction of insurance policies covering high-risk areas, has compelled more entities to defer their purchase of damage restoration services until a secure financial future is foreseeable. Consequently, the industry's profit has receded as prospective buyers have put off critical restoration services. Looking ahead, industry revenue is forecasted to continue growing at a CAGR of 1.5% to $7.6 billion in the five years leading to 2029. This growth is spurred by increasing environmental disasters attributed to climate change. The general economic outlook also appears promising, encouraging businesses and households to resume spending on nonessential services, including damage restoration. Despite the forecasted industry growth, the potential stumbling block is the ongoing retreat by insurance and reinsurance providers from areas historically affected severely by environmental disasters like hurricanes, earthquakes and wildfires.